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Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors

a quantum processor and performance improvement technology, applied in the field of computational solving problems, can solve problems such as limiting the amount of control the user can exert, hardware elements subject to practical constraints, and the final low-energy state may not be the global energy minimum, so as to remove bias

Active Publication Date: 2017-01-19
D WAVE SYSTEMS INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a computational system that includes a quantum processor with multiple qubits and a coupler for controllable communication between the qubits. The system also includes a processor-based device and a non-transitory storage medium. The processor-based device calibrates the coupler and the local bias terms of the qubits using samples obtained from the quantum processor. The calibration process involves iteratively adjusting the coupling terms and the local bias terms until certain criteria are met. The technical effect of the patent is to improve the accuracy and efficiency of the quantum processor by calibrating the coupling terms and local bias terms of the qubits.

Problems solved by technology

However, the final low-energy state may not be the global energy minimum.
These hardware elements are subject to practical constraints, both in design and fabrication that ultimately limit the amount of control that the user can exert on the Ising spin glass parameters hi and Jij.
In contrast, deviations in mutual inductances and flux offsets lead to absolute errors.

Method used

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  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors
  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors
  • Systems and methods for improving the performance of a quantum processor to reduce intrinsic/control errors

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Embodiment Construction

[0057]In the following description, some specific details are included to provide a thorough understanding of various disclosed embodiments. One skilled in the relevant art, however, will recognize that embodiments may be practiced without one or more of these specific details, or with other methods, components, materials, etc. In other instances, well-known structures associated with digital processors, such as digital microprocessors, digital signal processors (DSPs), digital graphical processing units (GPUs), field programmable gate arrays (FPGAs), and / or application specific integrated circuits (ASICs); analog or quantum processors, such as quantum devices, coupling devices, and associated control systems including microprocessors, processor-readable nontransitory storage media, and drive circuitry have not been shown or described in detail to avoid unnecessarily obscuring descriptions of the embodiments of the invention.

[0058]Unless the context requires otherwise, throughout th...

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PUM

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Abstract

Techniques for improving the performance of a quantum processor are described. Some techniques employ reducing intrinsic / control errors by using quantum processor-wide problems specifically crafted to reveal errors so that corrections may be applied. Corrections may be applied to physical qubits, logical qubits, and couplers so that problems may be solved using quantum processors with greater accuracy.

Description

BACKGROUND[0001]Field[0002]This disclosure generally relates to computationally solving problems.[0003]Solvers[0004]A solver is a mathematical-based set of instructions executed via hardware that is designed to solve mathematical problems. Some solvers are general purpose solvers, designed to solve a wide type or class of problems. Other solvers are designed to solve specific types or classes of problems. A non-limiting exemplary set of types or classes of problems includes: linear and non-linear equations, systems of linear equations, non-linear systems, systems of polynomial equations, linear and non-linear optimization problems, systems of ordinary differential equations, satisfiability problems, logic problems, constraint satisfaction problems, shortest path or traveling salesperson problems, minimum spanning tree problems, and search problems.[0005]There are numerous solvers available, most of which are designed to execute on classical computing hardware, that is computing hard...

Claims

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Application Information

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IPC IPC(8): G06N99/00G06F15/82
CPCG06F15/82G06N99/002G06N10/00
Inventor LANTING, TREVOR MICHAELKING, ANDREW
Owner D WAVE SYSTEMS INC
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